Overview
- Provides a wide analysis of emotion from the perspective of artificial systems, a theoretical foundation for designing computational emotion, and a reference model proposed as a framework for designing artificial systems with emotion
- Presents the unification of theories in order to provide a complete perspective and understanding of the computational mechanisms that might underlie artificial emotion from a multidisciplinary perspective
- Offers a state-of-the-art set of essential assumptions from the basis of many existing emotion theories
Part of the book series: Cognitive Systems Monographs (COSMOS, volume 33)
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Table of contents (7 chapters)
Keywords
About this book
The book provides a theoretical foundation for engineering and designing computational emotion as a framework for developing future adaptive systems. It includes a painstaking analysis of the rationales for the features of the final approach, including aspects from the fields of Artificial Intelligence, Psychology, the Cognitive Sciences and Model-based Systems. Synthesizing knowledge from a variety of disciplines, it ultimately presents a model conceptualization following the perspectives of Engineering and the CognitiveSciences.
Authors and Affiliations
Bibliographic Information
Book Title: Engineering Computational Emotion - A Reference Model for Emotion in Artificial Systems
Authors: M. Guadalupe Sánchez-Escribano
Series Title: Cognitive Systems Monographs
DOI: https://doi.org/10.1007/978-3-319-59430-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-59429-3Published: 05 July 2017
Softcover ISBN: 978-3-319-86623-9Published: 12 May 2018
eBook ISBN: 978-3-319-59430-9Published: 17 June 2017
Series ISSN: 1867-4925
Series E-ISSN: 1867-4933
Edition Number: 1
Number of Pages: XXI, 258
Number of Illustrations: 55 b/w illustrations, 27 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Emotion